/***************************************************************************
 BTreeDB.cpp  -  Contains the implementation of the BTreeDB class.

 begin     : April 2004
 copyright : (C) 2004 by Phil Cairns
 email     : philcairns@hotmail.com

 This code may be used in compiled form in any way you desire (including
 commercial use). The code may be redistributed unmodified by any means
 providing it is not sold for profit without the authors written consent,
 and providing that this notice and the authors name and all copyright
 notices remains intact.

 This software is provided "as is" without express or implied warranty. Use
 it at your own risk!
 ***************************************************************************/

#include "stdafx.h"
#include "btreedb.h"
#define min(a1,a2) (((a1)<(a2))?(a1):(a2))
using namespace std;

namespace Database
{
	// The constructor simply sets up the different data members, and if
	// the caller doesn't provide a compare function of their own, specifies
	// the default comparison function.
	BTreeDB::BTreeDB(const std::string& fileName, size_t recSize, size_t keySize, size_t minDegree, compareFn cfn)
		: _recSize(recSize)
		, _keySize(keySize)
		, _fileName(fileName)
		, _compFunc(cfn)
		, _minDegree(minDegree)
		, _dataFile(0)
		, _nodeSize((size_t)-1)
	{
		if (!_compFunc)
		{
			_compFunc = _defaultCompare;
		}
	}

	// The destructor of a BTreeDB object unloads the root
	// node and then assigns null to the _root smart pointer.
	// This deletes the item that was already there.
	// Unloading the root node ensures that there are no
	// children floating around referring to the root node, so
	// that when we come to assign null to the smart pointer,
	// the number of references will drop to zero, and the
	// actual node will be deleted.
	// We also have to close the file.
	BTreeDB::~BTreeDB(void)
	{
		_root->unload();
		_root = (TreeNode*)0;
		if (_dataFile != 0)
		{
			fclose(_dataFile);
			_dataFile = 0;
		}
	}

	// This is the static default comparator. It just
	// compares the contents of the two DbObj's being
	// compared using memcmp.
	int BTreeDB::_defaultCompare(const DbObjPtr& obj1, const DbObjPtr& obj2)
	{
		return memcmp(obj1->getData(), obj2->getData(), min(obj1->getSize(), obj2->getSize()));
	}

	// Allocate a new node for this tree. This method
	// allocates space in the file for this node, so
	// only do this when you actually need a new node
	// added to the file.
	TreeNodePtr BTreeDB::_allocateNode()
	{
		TreeNodePtr newNode = new TreeNode;
		int fh = _fileno(_dataFile);
		newNode->fpos = _filelength(fh);
		newNode->loaded = true;
		_chsize(fh, (long)(newNode->fpos + _nodeSize));
		return newNode;
	}

	// Search for a key given a starting node. This method returns a pair containing
	// a reference to the node containing the key, and the offset of the key within
	// the node. If not found, the resulting pair will have a null tree node pointer
	// and a location of -1.
	NodeKeyLocn BTreeDB::_search(const TreeNodePtr& node, const DbObjPtr& key, compareFn cfn)
	{
		NodeKeyLocn ret(TreeNodePtr(), (size_t)-1);
		if (cfn == 0)
		{
			cfn = _compFunc;
		}

		OBJECTPOS op = node->findPos(key, cfn);
		if (op.first != (size_t)-1)
		{
			TreeNodePtr child;
			switch (op.second)
			{
			case ECP_INTHIS:
				// If the key is present in the tested node,
				// the result contains a reference to this
				// node and the position within the node.
				ret.first = node;
				ret.second = op.first;
				break;

			case ECP_INLEFT:
				// If the key is present in a child to the
				// left of the tested node, recurse in to the
				// child on the left.
				child = node->loadChild(op.first, _dataFile, _recSize);
				ret = _search(child, key);
				break;

			case ECP_INRIGHT:
				// If the key is present in a child to the
				// right of the tested node, recurse in to the
				// child on the right.
				child = node->loadChild(op.first + 1, _dataFile, _recSize);
				ret = _search(child, key);
				break;

			default:
				break;
			}
		}
		return ret;
	}

	// Splits a child node, creating a new node. The median value from the
	// full child is moved into the *non-full* parent. The keys above the
	// median are moved from the full child to the new child.
	void BTreeDB::_split(TreeNodePtr& parent, size_t childNum, TreeNodePtr& child)
	{
		size_t ctr = 0;
		DbObjPtr saveObj;
		TreeNodePtr newChild = _allocateNode();
		newChild->isLeaf = child->isLeaf;
		newChild->setCount(_minDegree - 1);

		// Put the high values in the new child, then shrink the existing child.
		for (ctr = 0; ctr < _minDegree - 1; ctr++)
		{
			newChild->objects[ctr] = child->objects[_minDegree + ctr];
		}
		if (!child->isLeaf)
		{
			for (ctr = 0; ctr < _minDegree; ctr++)
			{
				TreeNodePtr mover = child->children[_minDegree + ctr];
				newChild->children[ctr] = mover;
				mover->childNo = ctr;
				mover->parent = newChild;
			}
		}
		saveObj = child->objects[_minDegree - 1];
		child->setCount(_minDegree - 1);

		// Move the child pointers above childNum up in the parent
		parent->setCount(parent->objCount + 1);
		for (ctr = parent->objCount; ctr > childNum + 1; ctr--)
		{
			parent->children[ctr] = parent->children[ctr - 1];
			parent->children[ctr]->childNo = ctr;
		}
		parent->children[childNum + 1] = newChild;
		newChild->childNo = childNum + 1;
		newChild->parent = parent;
		for (ctr = parent->objCount - 1; ctr > childNum; ctr--)
		{
			parent->objects[ctr] = parent->objects[ctr - 1];
		}
		parent->objects[childNum] = saveObj;

		// Now write everything to disk. We could hold off until we
		// get flushed, but .. I don't know. I'll have to think about
		// it.
		child->write(_dataFile);
		newChild->write(_dataFile);
		parent->write(_dataFile);
	}

	// Merges two child nodes, removing one node from the parent and
	// putting it into the new merged node. This is the inverse of the
	// _split method above. Only the object number is given, since the
	// children to be merged can be derived from that.
	// The assumption here is that both c1 and c2 have _minDegree - 1
	// keys.
	TreeNodePtr BTreeDB::_merge(TreeNodePtr& parent, size_t objNo)
	{
		size_t ctr = 0;
		TreeNodePtr c1 = parent->children[objNo];
		TreeNodePtr c2 = parent->children[objNo + 1];

		// Make the two child nodes into a single node
		c1->objects.resize(2 * _minDegree - 1);
		for (ctr = 0; ctr < _minDegree - 1; ctr++)
		{
			c1->objects[_minDegree + ctr] = c2->objects[ctr];
		}
		if (!c2->isLeaf)
		{
			c1->children.resize(2 * _minDegree);
			for (ctr = 0; ctr < _minDegree; ctr++)
			{
				size_t newPos = _minDegree + ctr;
				c1->children[newPos] = c2->children[ctr];
				c1->children[newPos]->childNo = newPos; // Thanks steradrian
			}
		}

		// Put the parent into the middle
		c1->objects[_minDegree - 1] = parent->objects[objNo];
		c1->objCount = 2 * _minDegree - 1;

		// Reshuffle the parent (it has one less object/child)
		for (ctr = objNo + 1; ctr < parent->objCount; ctr++)
		{
			parent->objects[ctr - 1] = parent->objects[ctr];
			parent->children[ctr] = parent->children[ctr + 1];
			parent->children[ctr]->childNo = ctr;
		}
		--parent->objCount;
		parent->objects.resize(parent->objCount);
		parent->children.resize(parent->objCount + 1);

		// Write the two affected nodes to the disk. Note that
		// c2 just goes away. The node will be deallocated because
		// of the smart pointers, and the node's location on
		// disk will become inaccessible. This will have to be
		// fixed by the judicious use of the compact() method.
		c1->write(_dataFile);
		parent->write(_dataFile);

		// Return a pointer to the new child.
		return c1;
	}

	// Insert a new key into the btree. If the root has
	// (2t - 1) keys, the tree is full, and should therefore
	// grow. Otherwise, we're inserting into a node that
	// is not full.
	void BTreeDB::_insert(const DbObjPtr& key)
	{
		if (_root->objCount == (_minDegree * 2) - 1)
		{
			// Growing the tree happens by creating a new
			// node as the new root, and splitting the
			// old root into a pair of children.
			TreeNodePtr oldRoot = _root;
			_root = _allocateNode();
			_root->setCount(0);
			_root->isLeaf = false;
			_root->children[0] = oldRoot;
			oldRoot->childNo = 0;
			oldRoot->parent = _root;
			_split(_root, 0, oldRoot);
			_insertNonFull(_root, key);
			fseek(_dataFile, 0, SEEK_SET);
			fwrite(&_root->fpos, sizeof(_root->fpos), 1, _dataFile);
		}
		else
		{
			_insertNonFull(_root, key);
		}
	}

	// Insert a key into a non-full node.
	void BTreeDB::_insertNonFull(TreeNodePtr& node, const DbObjPtr& key)
	{
		size_t ctr = node->objCount;

		// If the node is a leaf, we just find the location to insert
		// the new item, and shuffle everything else up.
		if (node->isLeaf)
		{
			node->setCount(node->objCount + 1);
			for ( ; ctr > 0; ctr--)
			{
				DbObjPtr compObj = node->objects[ctr - 1];
				int compVal = _compFunc(key, compObj);
				if (compVal < 0)
				{
					node->objects[ctr] = node->objects[ctr - 1];
				}
				else
				{
					break;
				}
			}
			node->objects[ctr] = key;
			node->write(_dataFile);
		}

		// If the node is an internal node, we need to find
		// the location to insert the value ...
		else
		{
			while (ctr > 0)
			{
				--ctr;
				int compVal = _compFunc(key, node->objects[ctr]);
				if (compVal >= 0)
				{
					++ctr;
					break;
				}
			}

			// Load the child into which the value will be inserted.
			TreeNodePtr child = node->loadChild(ctr, _dataFile, _recSize);

			// If the child node is full (2t - 1 objects), then we need
			// to split the node.
			if (child->objCount == _minDegree * 2 - 1)
			{
				_split(node, ctr, child);
				int compVal = _compFunc(key, node->objects[ctr]);
				if (compVal > 0)
				{
					++ctr;
				}
				child = node->children[ctr];
			}

			// Insert the key (recursively) into the non-full child
			// node.
			_insertNonFull(child, key);
		}
	}

	// Perform an in-order traversal of the tree
	void BTreeDB::_traverse(const TreeNodePtr& node, const DbObjPtr& ref, traverseCallback cbfn, int depth)
	{
		bool shouldContinue = true;
		size_t ctr = 0;
		for ( ; ctr < node->objCount && shouldContinue; ctr++)
		{
			if (!node->isLeaf)
			{
				TreeNodePtr child = node->loadChild(ctr, _dataFile, _recSize);
				_traverse(child, ref, cbfn, depth + 1);
			}
			shouldContinue = cbfn ? cbfn(node->objects[ctr], ref, depth) : true;
		}
		if (shouldContinue && !node->isLeaf)
		{
			TreeNodePtr child = node->loadChild(ctr, _dataFile, _recSize);
			_traverse(child, ref, cbfn, depth + 1);
		}
	}

	// Write all nodes in the tree to the file given.
	bool BTreeDB::_flush(TreeNodePtr& node, FILE* f)
	{
		bool ret = false;

		// Bug out if the file is not valid
		if (!f)
		{
			return false;
		}

		// If the node isn't loaded ignore it, but
		// return true because it's unchanged.
		if (!node->loaded)
		{
			ret = true;
		}
		else
		{
			// Write the given node to disk ...
			ret = node->write(f);

			// ... and if it has children, make
			// sure they're written too.
			if (ret && !node->isLeaf)
			{
				TREENODEVECTOR::iterator tnvit = node->children.begin();
				while (ret && tnvit != node->children.end())
				{
					ret = _flush((*tnvit), f);
					++tnvit;
				}
			}
		}
		return ret;
	}

	// Internal delete function, used once we've identified the
	// location of the node from whicha key is to be deleted.
	bool BTreeDB::_delete(TreeNodePtr& node, const DbObjPtr& key)
	{
		bool ret = false;

		// Find the object position. op will have the position
		// of the object in op.first, and a flag (op.second)
		// saying whether the object at op.first is an exact
		// match (true) or if the object is in a child of the
		// current node (false). If op.first is -1, the object
		// is neither in this node, or a child node.
		OBJECTPOS op = node->findPos(key, _compFunc);
		if (op.first != (size_t)-1)	// it's in there somewhere ...
		{
			if (op.second == ECP_INTHIS)	// we've got an exact match
			{
				// Case 1: deletion from leaf node.
				if (node->isLeaf)
				{
					node->delFromLeaf(op.first);
					ret = true;
				}

				// Case 2: Exact match on internal leaf.
				else
				{
					// Case 2a: prior child has enough objects to pull one out.
					if (node->children[op.first]->objCount >= _minDegree)
					{
						TreeNodePtr childNode = node->loadChild(op.first, _dataFile, _recSize);
						NodeKeyLocn locn = _findPred(childNode);
						DbObjPtr childObj = locn.first->objects[locn.second];
						ret = _delete(childNode, childObj);
						node->objects[op.first] = childObj;
					}

					// Case 2b: successor child has enough objects to pull one out.
					else if (node->children[op.first + 1]->objCount >= _minDegree)
					{
						TreeNodePtr childNode = node->loadChild(op.first + 1, _dataFile, _recSize);
						NodeKeyLocn locn = _findSucc(childNode);
						DbObjPtr childObj = locn.first->objects[locn.second];
						ret = _delete(childNode, childObj);
						node->objects[op.first] = childObj;
					}

					// Case 2c: both children have only t-1 objects.
					// Merge the two children, putting the key into the
					// new child. Then delete from the new child.
					else
					{
						TreeNodePtr mergedChild = _merge(node, op.first);
						ret = _delete(mergedChild, key);
					}
				}
			}

			// Case 3: key is not in the internal node being examined,
			// but is in one of the children.
			else if (op.second == ECP_INLEFT || op.second == ECP_INRIGHT)
			{
				// Find out if the child tree containing the key
				// has enough objects. If so, we just recurse into
				// that child.
				size_t keyChildPos = (op.second == ECP_INLEFT) ? op.first : op.first + 1;
				TreeNodePtr childNode = node->loadChild(keyChildPos, _dataFile, _recSize);
				if (childNode->objCount >= _minDegree)
				{
					ret = _delete(childNode, key);
				}
				else
				{
					// Find out if the childNode has an immediate
					// sibling with _minDegree keys.
					TreeNodePtr leftSib;
					TreeNodePtr rightSib;
					size_t leftCount = 0;
					size_t rightCount = 0;
					if (keyChildPos > 0)
					{
						leftSib = node->loadChild(keyChildPos - 1, _dataFile, _recSize);
						leftCount = leftSib->objCount;
					}
					if (keyChildPos < node->objCount)
					{
						rightSib = node->loadChild(keyChildPos + 1, _dataFile, _recSize);
						rightCount = rightSib->objCount;
					}

					// Case 3a: There is a sibling with _minDegree or more keys.
					if (leftCount >= _minDegree || rightCount >= _minDegree)
					{
						// Part of this process is making sure that the
						// child node has minDegree objects.
						childNode->setCount(_minDegree);

						// Bringing the new key from the left sibling
						if (leftCount >= _minDegree)
						{
							// Shuffle the keys and objects up
							size_t ctr = _minDegree - 1;
							for ( ; ctr > 0; ctr--)
							{
								childNode->objects[ctr] = childNode->objects[ctr - 1];
								childNode->children[ctr + 1] = childNode->children[ctr];
								childNode->childNo = ctr + 1; // Thanks steradrian
							}
							childNode->children[ctr + 1] = childNode->children[ctr];

							// Put the key from the parent into the empty space,
							// pull the replacement key from the sibling, and
							// move the appropriate child from the sibling to
							// the target child.
							childNode->objects[0] = node->objects[keyChildPos - 1];
							node->objects[keyChildPos - 1] = leftSib->objects[leftSib->objCount - 1];
							leftSib->objects.resize(leftSib->objCount - 1);
							if (!leftSib->isLeaf)
							{
								childNode->children[0] = leftSib->children[leftSib->objCount];
								leftSib->children.resize(leftSib->objCount);
							}
							--leftSib->objCount;
						}

						// Bringing a new key in from the right sibling
						else
						{
							// Put the key from the parent into the child,
							// put the key from the sibling into the parent,
							// and move the appropriate child from the
							// sibling to the target child node.
							childNode->objects[childNode->objCount - 1] = node->objects[op.first];
							node->objects[op.first] = rightSib->objects[0];
							if (!rightSib->isLeaf)
							{
								childNode->children[childNode->objCount] = rightSib->children[0];
							}

							// Now clean up the right node, shuffling keys
							// and objects to the left and resizing.
							size_t ctr = 0;
							for ( ; ctr < rightSib->objCount - 1; ctr++)
							{
								rightSib->objects[ctr] = rightSib->objects[ctr + 1];
								if (!rightSib->isLeaf)
								{
									rightSib->children[ctr] = rightSib->children[ctr + 1];
								}
							}
							if (!rightSib->isLeaf)
							{
								rightSib->children[ctr] = rightSib->children[ctr + 1];
							}
							rightSib->setCount(rightSib->objCount - 1);
						}
						ret = _delete(childNode, key);
					}

					// Case 3b: All siblings have _minDegree - 1 keys
					else
					{
						TreeNodePtr mergedChild = _merge(node, op.first);
						ret = _delete(mergedChild, key);
					}
				}
			}
		}
		return ret;
	}

	// Finds the location of the predecessor of this key, given
	// the root of the subtree to search. The predecessor is going
	// to be the right-most object in the right-most leaf node.
	NodeKeyLocn BTreeDB::_findPred(TreeNodePtr& node)
	{
		NodeKeyLocn ret(TreeNodePtr(), (size_t)-1);
		TreeNodePtr child = node;
		while (!child->isLeaf)
		{
			child = child->loadChild(child->objCount, _dataFile, _recSize);
		}
		ret.first = child;
		ret.second = child->objCount - 1;
		return ret;
	}

	// Finds the location of the successor of this key, given
	// the root of the subtree to search. The successor is the
	// left-most object in the left-most leaf node.
	NodeKeyLocn BTreeDB::_findSucc(TreeNodePtr& node)
	{
		NodeKeyLocn ret(TreeNodePtr(), (size_t)-1);
		TreeNodePtr child = node;
		while (!child->isLeaf)
		{
			child = child->loadChild(0, _dataFile, _recSize);
		}
		ret.first = child;
		ret.second = 0;
		return ret;
	}

	// Opening the database means that we check the file
	// and see if it exists. If it doesn't exist, start a database
	// from scratch. If it does exist, load the root node into
	// memory.
	bool BTreeDB::open()
	{
		// We're creating if the file doesn't exist.
		SFileHeader sfh;
		bool creating = (0 != _access(_fileName.c_str(), 06));
		_dataFile = fopen(_fileName.c_str(), creating ? "w+b" : "r+b");
		if (0 == _dataFile)
		{
			return false;
		}

		// Create a new node
		bool ret = false;
		if (creating)
		{
			// We *must* have the rec size, key size and
			// and min degree if we are creating. If not
			// supplied, we have to bug out.
			if (_recSize == -1 || _keySize == -1 || _minDegree == -1)
			{
				return false;
			}
			sfh.keySize = _keySize;
			sfh.recSize = _recSize;
			sfh.minDegree = _minDegree;
			sfh.rootPos = sizeof(sfh);
			_nodeSize = sizeof(size_t);						// object count
			_nodeSize += (_minDegree * 2 - 1) * _recSize;	// records
			_nodeSize += _minDegree * 2 * sizeof(long);		// child locations
			_nodeSize += sizeof(byte);						// is leaf?

			// when creating, write the node to the disk.
			// remember that the first four bytes contain
			// the address of the root node.
			if (1 != fwrite(&sfh, sizeof(sfh), 1, _dataFile))
			{
				return false;
			}
			fflush(_dataFile);

			// If creating, allocate a node instead of
			// reading one.
			_root = _allocateNode();
			_root->isLeaf = true;
			_root->loaded = true;
			_root->write(_dataFile);
			ret = true;
		}
		else
		{
			// when not creating, read the root node from the disk.
			memset(&sfh, 0, sizeof(sfh));
			if (1 != fread(&sfh, sizeof(sfh), 1, _dataFile))
			{
				return false;
			}
			else
			{
				_keySize = sfh.keySize;
				_recSize = sfh.recSize;
				_minDegree = sfh.minDegree;
				_nodeSize = sizeof(size_t);						// object count
				_nodeSize += (_minDegree * 2 - 1) * _recSize;	// records
				_nodeSize += _minDegree * 2 * sizeof(long);		// child locations
				_nodeSize += sizeof(byte);						// is leaf?
			}

			// If note creating, just create and read
			// rather than allocating.
			_root = new TreeNode;
			_root->fpos = sfh.rootPos;
			_root->read(_dataFile, _recSize);
			ret = true;
		}
		return ret;
	}

	// This is the external delete function.
	bool BTreeDB::del(const DbObjPtr& key)
	{
		// Determine if the root node is empty.
		bool ret = (_root->objCount != 0);

		// If our root is not empty, call the internal
		// delete method on it.
		ret = ret && _delete(_root, key);

		// If we successfully deleted the key, and there
		// is nothing left in the root node and the root
		// node is not a leaf, we need to shrink the tree
		// by making the root's child (there should only
		// be one) the new root. Write the location of
		// the new root to the start of the file so we
		// know where to look.
		if (ret && _root->objCount == 0 && !_root->isLeaf)
		{
			_root = _root->children[0];
			fseek(_dataFile, 0, SEEK_SET);
			fwrite(&_root->fpos, sizeof(_root->fpos), 1, _dataFile);
			ret = flush();
		}
		return ret;
	}

	// External put method. This will overwrite a key
	// (allowing no duplicates) or insert a new item.
	bool BTreeDB::put(const DbObjPtr& rec)
	{
		if (rec->getSize() != getRecSize())
		{
			return false;
		}
		NodeKeyLocn locn = _search(_root, rec);

		// If we can't find the key, then insert a new
		// record.
		if ((TreeNode*)locn.first == 0 || locn.second == (size_t)-1)
		{
			_insert(rec);
		}

		// If we found the key, update the node with
		// the record.
		else
		{
			locn.first->objects[locn.second] = rec;
			locn.first->write(_dataFile);
		}
		return true;
	}

	// This method retrieves a record from the database
	// given its location.
	bool BTreeDB::get(const NodeKeyLocn& locn, DbObjPtr& rec)
	{
		if ((TreeNode*)locn.first == 0 || locn.second == (size_t)-1)
		{
			return false;
		}
		rec = locn.first->objects[locn.second];
		return true;
	}

	// This method retrieves a record from the database
	// given its key.
	bool BTreeDB::get(const DbObjPtr& key, DbObjPtr& rec)
	{
		NodeKeyLocn locn = _search(_root, key);
		return get(locn, rec);
	}

	// Visit every record in the tree, calling the callback
	// function with the current record, the reference object,
	// and the recursion depth as parameters.
	void BTreeDB::traverse(const DbObjPtr& ref, BTreeDB::traverseCallback cbfn)
	{
		_traverse(_root, ref, cbfn);
	}

	// External method that searches for elements that match the
	// given key. The cfn parameter is a caller-provided callback
	// function used to do the comparison.
	NodeKeyLocn BTreeDB::search(const DbObjPtr& key, compareFn cfn)
	{
		return _search(_root, key, cfn);
	}

	// Structure and methods used for searching the database.
	struct SearchData
	{
		bool started;
		size_t counter;
		DbObjPtr pKey;
		DBOBJVECTOR* pVect;
	};

	// This is the callback function used for findAll traversals.
	// It builds a list of records whose keys match the object given
	// as the search pattern. It starts inserting values once we've found
	// a match, and stops once we've found a record that doesn't match.
	bool BTreeDB::_searchCallback(const DbObjPtr& obj, const DbObjPtr& ref, int /*depth*/)
	{
		SearchData* sd = (SearchData*)ref->getData();
		if (0 == memcmp(obj->getData(), sd->pKey->getData(), min(obj->getSize(), sd->pKey->getSize())))
		{
			if (sd->pVect->size() == sd->pVect->capacity() - 1)
			{
				sd->pVect->reserve(sd->pVect->capacity() * 2);
			}
			sd->pVect->push_back(obj);
			sd->started = true;
			++sd->counter;
		}
		else if (sd->started)
		{
			return false;
		}
		return true;
	}

	// This method finds all records in the database that match
	// the given key. Note that this doesn't necessarily compare
	// the entire key. This is for finding all keys that match
	// "ABC%", f'rinstance.
	void BTreeDB::findAll(const DbObjPtr& key, DBOBJVECTOR& results)
	{
		results.clear();
		SearchData sd;// = { false, 0, key, &results };
		sd.started =false;
		sd.counter=0;
		sd.pKey=key;
		sd.pVect=&results;
		
		DbObjPtr pRef = new DbObj(&sd, sizeof(sd));
		_traverse(_root, pRef, _searchCallback);
		memcpy(&sd, pRef->getData(), sizeof(sd));
	}

	// This method finds the record following the one at the
	// location given as locn, and copies the record into rec.
	// The direction can be either forward or backward.
	bool BTreeDB::seq(NodeKeyLocn& locn, DbObjPtr& rec, ESeqDirection sdir)
	{
		switch (sdir)
		{
		case ESD_FORWARD:
			return _seqNext(locn, rec);

		case ESD_BACKWARD:
			return _seqPrev(locn, rec);
		}

		return false;
	}

	// Find the next item in the database given a location. Return
	// the subsequent item in rec.
	bool BTreeDB::_seqNext(NodeKeyLocn& locn, DbObjPtr& rec)
	{
		// Set up a couple of convenience values
		bool ret = false;
		TreeNodePtr node = locn.first;
		size_t lastPos = locn.second;
		bool goUp = false;	// indicates whether or not we've exhausted a node.

		// If we are starting at the beginning, initialise
		// the locn reference and return with the value set.
		// This means we have to plunge into the depths of the
		// tree to find the first leaf node.
		if ((TreeNode*)node == 0)
		{
			node = _root;
			while ((TreeNode*)node != 0 && !node->isLeaf)
			{
				node = node->loadChild(0, _dataFile, _recSize);
			}
			if ((TreeNode*)node == 0)
			{
				return false;
			}
			rec = node->objects[0];
			locn.first = node;
			locn.second = 0;
			return true;
		}

		// Advance the locn object to the next item

		// If we have a leaf node, we don't need to worry about
		// traversing into children ... only need to worry about
		// going back up the tree.
		if (node->isLeaf)
		{
			// didn't visit the last node last time.
			if (lastPos < node->objCount - 1)
			{
				rec = node->objects[lastPos + 1];
				locn.second = lastPos + 1;
				return true;
			}
			goUp = (lastPos == node->objCount - 1);
		}

		// Not a leaf, therefore need to worry about traversing
		// into child nodes.
		else
		{
			node = node->loadChild(lastPos + 1, _dataFile, _recSize);
			while ((TreeNode*)node != 0 && !node->isLeaf)
			{
				node = node->loadChild(0, _dataFile, _recSize);
			}
			if ((TreeNode*)node == 0)
			{
				return false;
			}
			rec = node->objects[0];
			locn.first = node;
			locn.second = 0;
			return true;
		}

		// Finished off a leaf, therefore need to go up to
		// a parent.
		if (goUp)
		{
			size_t childNo = node->childNo;
			node = node->parent;
			while ((TreeNode*)node != 0 && childNo >= node->objCount)
			{
				childNo = node->childNo;
				node = node->parent;
			}
			if ((TreeNode*)node != 0)
			{
				locn.first = node;
				locn.second = childNo;
				ret = true;
				rec = node->objects[childNo];
			}
		}
		return ret;
	}

	// Find the previous item in the database given a location. Return
	// the item in rec.
	bool BTreeDB::_seqPrev(NodeKeyLocn& locn, DbObjPtr& rec)
	{
		// Set up a couple of convenience values
		bool ret = false;
		TreeNodePtr node = locn.first;
		size_t lastPos = locn.second;
		bool goUp = false;	// indicates whether or not we've exhausted a node.

		// If we are starting at the end, initialise
		// the locn reference and return with the value set.
		// This means we have to plunge into the depths of the
		// tree to find the first leaf node.
		if ((TreeNode*)node == 0)
		{
			node = _root;
			while ((TreeNode*)node != 0 && !node->isLeaf)
			{
				node = node->loadChild(node->objCount, _dataFile, _recSize);
			}
			if ((TreeNode*)node == 0)
			{
				return false;
			}
			locn.first = node;
			locn.second = node->objCount - 1;
			rec = node->objects[locn.second];
			return true;
		}

		// Advance the locn object to the next item

		// If we have a leaf node, we don't need to worry about
		// traversing into children ... only need to worry about
		// going back up the tree.
		if (node->isLeaf)
		{
			// didn't visit the last node last time.
			if (lastPos > 0)
			{
				locn.second = lastPos - 1;
				rec = node->objects[locn.second];
				return true;
			}
			goUp = (lastPos == 0);
		}

		// Not a leaf, therefore need to worry about traversing
		// into child nodes.
		else
		{
			node = node->loadChild(lastPos, _dataFile, _recSize);
			while ((TreeNode*)node != 0 && !node->isLeaf)
			{
				node = node->loadChild(node->objCount, _dataFile, _recSize);
			}
			if ((TreeNode*)node == 0)
			{
				return false;
			}
			locn.first = node;
			locn.second = node->objCount - 1;
			rec = node->objects[locn.second];
			return true;
		}

		// Finished off a leaf, therefore need to go up to
		// a parent.
		if (goUp)
		{
			size_t childNo = node->childNo;
			node = node->parent;
			while ((TreeNode*)node != 0 && childNo >= node->objCount)
			{
				childNo = node->childNo;
				node = node->parent;
			}
			if ((TreeNode*)node != 0)
			{
				locn.first = node;
				locn.second = childNo - 1;
				rec = node->objects[locn.second];
				ret = true;
			}
		}
		return ret;
	}

	// This method flushes all loaded nodes to the file and
	// then unloads the root node. So not only do we commit
	// everything to file, we also free up any memory previously
	// allocated.
	bool BTreeDB::flush()
	{
		bool ret = _flush(_root, _dataFile);
		if (ret)
		{
			fflush(_dataFile);
		}

		// Unload each of the root's childrent. If we
		// unload the root itself, we lose the use of
		// the tree.
		for (size_t ctr = 0; _root->isLeaf && ctr < _root->objCount; ctr++)
		{
			TreeNodePtr pChild = _root->children[ctr];
			if ((TreeNode*)pChild != 0)
			{
				_root->children[ctr]->unload();
			}
		}
		return ret;
	}
}